Struct UpdateModelPackageInput

#[non_exhaustive]
pub struct UpdateModelPackageInput {
    pub model_package_arn: Option<String>,
    pub model_approval_status: Option<ModelApprovalStatus>,
    pub approval_description: Option<String>,
    pub customer_metadata_properties: Option<HashMap<String, String>>,
    pub customer_metadata_properties_to_remove: Option<Vec<String>>,
    pub additional_inference_specifications_to_add: Option<Vec<AdditionalInferenceSpecificationDefinition>>,
    pub inference_specification: Option<InferenceSpecification>,
    pub source_uri: Option<String>,
    pub model_card: Option<ModelPackageModelCard>,
    pub model_life_cycle: Option<ModelLifeCycle>,
    pub client_token: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

model_package_arn: Option<String>

The Amazon Resource Name (ARN) of the model package.

model_approval_status: Option<ModelApprovalStatus>

The approval status of the model.

approval_description: Option<String>

A description for the approval status of the model.

customer_metadata_properties: Option<HashMap<String, String>>

The metadata properties associated with the model package versions.

customer_metadata_properties_to_remove: Option<Vec<String>>

The metadata properties associated with the model package versions to remove.

additional_inference_specifications_to_add: Option<Vec<AdditionalInferenceSpecificationDefinition>>

An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.

inference_specification: Option<InferenceSpecification>

Specifies details about inference jobs that you can run with models based on this model package, including the following information:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the model package supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the model package supports for inference.

source_uri: Option<String>

The URI of the source for the model package.

model_card: Option<ModelPackageModelCard>

The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.

model_life_cycle: Option<ModelLifeCycle>

A structure describing the current state of the model in its life cycle.

client_token: Option<String>

A unique token that guarantees that the call to this API is idempotent.

Implementations

impl UpdateModelPackageInput

pub fn model_package_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the model package.

pub fn model_approval_status(&self) -> Option<&ModelApprovalStatus>

The approval status of the model.

pub fn approval_description(&self) -> Option<&str>

A description for the approval status of the model.

pub fn customer_metadata_properties(&self) -> Option<&HashMap<String, String>>

The metadata properties associated with the model package versions.

pub fn customer_metadata_properties_to_remove(&self) -> &[String]

The metadata properties associated with the model package versions to remove.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .customer_metadata_properties_to_remove.is_none().

pub fn additional_inference_specifications_to_add( &self, ) -> &[AdditionalInferenceSpecificationDefinition]

An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .additional_inference_specifications_to_add.is_none().

pub fn inference_specification(&self) -> Option<&InferenceSpecification>

Specifies details about inference jobs that you can run with models based on this model package, including the following information:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the model package supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the model package supports for inference.

pub fn source_uri(&self) -> Option<&str>

The URI of the source for the model package.

pub fn model_card(&self) -> Option<&ModelPackageModelCard>

The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.

pub fn model_life_cycle(&self) -> Option<&ModelLifeCycle>

A structure describing the current state of the model in its life cycle.

pub fn client_token(&self) -> Option<&str>

A unique token that guarantees that the call to this API is idempotent.

impl UpdateModelPackageInput

pub fn builder() -> UpdateModelPackageInputBuilder

Creates a new builder-style object to manufacture UpdateModelPackageInput.

Trait Implementations

impl Clone for UpdateModelPackageInput

fn clone(&self) -> UpdateModelPackageInput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for UpdateModelPackageInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for UpdateModelPackageInput

fn eq(&self, other: &UpdateModelPackageInput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for UpdateModelPackageInput